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Mapping of second growth forest using forest canopy density model technique - a case study / Khali Aziz Hamzah … [et al.]

Forest Management practices can be improved through the use of current technologies including remote sensing, Geographic Information System (GIS) and Global Positioning System (GPS). One approach where remote sensing data can be used effectively to map forest conditions is by using Forest Canopy Den...

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Main Authors: Hamzah, Khali Aziz, Ibrahim, Shamsudin, Muhammad Yusof, Shafiah @ Yusmah, Shah Idris, Abdul Azahan, Hashimi, Rodziah, Chin, Yue Mun, Mohd Ariff, Zainudin
Format: Conference or Workshop Item
Language:English
Published: 2002
Subjects:
SD Forestry
Information technology. Information systems
Online Access:https://ir.uitm.edu.my/id/eprint/73721/1/73721.pdf
https://ir.uitm.edu.my/id/eprint/73721/
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spelling my.uitm.ir.737212023-06-08T07:30:51Z https://ir.uitm.edu.my/id/eprint/73721/ Mapping of second growth forest using forest canopy density model technique - a case study / Khali Aziz Hamzah … [et al.] Hamzah, Khali Aziz Ibrahim, Shamsudin Muhammad Yusof, Shafiah @ Yusmah Shah Idris, Abdul Azahan Hashimi, Rodziah Chin, Yue Mun Mohd Ariff, Zainudin SD Forestry Information technology. Information systems Forest Management practices can be improved through the use of current technologies including remote sensing, Geographic Information System (GIS) and Global Positioning System (GPS). One approach where remote sensing data can be used effectively to map forest conditions is by using Forest Canopy Density model (FCD Mapper). FCD Mapper is a semi-expert system developed by the International Tropical Timber Organisation (ITTO). The model utilises forest canopy density as an essential parameter for characterisation of the forest conditions. Hence it is possible to monitor forest conditions over time using multi-temporal satellite images base on this model. Landsat TM data is the main input to the model and the analysis focuses on four indices namely the Advanced Vegetation Index (A VI), Bare Soil index (B1), Shadow Index or Scaled Shadow Index (SI, SSI) and Thermal Index (TI). These four indices have direct relationship with the forest conditions. The model produces forest canopy density map, which may indicates the intensity of rehabilitation treatment needed in the particular area. This is very useful in planning and implementation of any forest rehabilitation programmes. This paper highlights the usefulness of this technique in mapping logged-over forest for resource assessment purposes. 2002 Conference or Workshop Item PeerReviewed text en https://ir.uitm.edu.my/id/eprint/73721/1/73721.pdf Mapping of second growth forest using forest canopy density model technique - a case study / Khali Aziz Hamzah … [et al.]. (2002) In: Prosiding Seminar Kebangsaan Sains,Teknologi dan Sains Sosial “Ke Arah Pembangunan Negara”, 27 dan 28 Mei 2002, Hotel Vistana, Kuantan, Pahang.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic SD Forestry
Information technology. Information systems
spellingShingle SD Forestry
Information technology. Information systems
Hamzah, Khali Aziz
Ibrahim, Shamsudin
Muhammad Yusof, Shafiah @ Yusmah
Shah Idris, Abdul Azahan
Hashimi, Rodziah
Chin, Yue Mun
Mohd Ariff, Zainudin
Mapping of second growth forest using forest canopy density model technique - a case study / Khali Aziz Hamzah … [et al.]
description Forest Management practices can be improved through the use of current technologies including remote sensing, Geographic Information System (GIS) and Global Positioning System (GPS). One approach where remote sensing data can be used effectively to map forest conditions is by using Forest Canopy Density model (FCD Mapper). FCD Mapper is a semi-expert system developed by the International Tropical Timber Organisation (ITTO). The model utilises forest canopy density as an essential parameter for characterisation of the forest conditions. Hence it is possible to monitor forest conditions over time using multi-temporal satellite images base on this model. Landsat TM data is the main input to the model and the analysis focuses on four indices namely the Advanced Vegetation Index (A VI), Bare Soil index (B1), Shadow Index or Scaled Shadow Index (SI, SSI) and Thermal Index (TI). These four indices have direct relationship with the forest conditions. The model produces forest canopy density map, which may indicates the intensity of rehabilitation treatment needed in the particular area. This is very useful in planning and implementation of any forest rehabilitation programmes. This paper highlights the usefulness of this technique in mapping logged-over forest for resource assessment purposes.
format Conference or Workshop Item
author Hamzah, Khali Aziz
Ibrahim, Shamsudin
Muhammad Yusof, Shafiah @ Yusmah
Shah Idris, Abdul Azahan
Hashimi, Rodziah
Chin, Yue Mun
Mohd Ariff, Zainudin
author_facet Hamzah, Khali Aziz
Ibrahim, Shamsudin
Muhammad Yusof, Shafiah @ Yusmah
Shah Idris, Abdul Azahan
Hashimi, Rodziah
Chin, Yue Mun
Mohd Ariff, Zainudin
author_sort Hamzah, Khali Aziz
title Mapping of second growth forest using forest canopy density model technique - a case study / Khali Aziz Hamzah … [et al.]
title_short Mapping of second growth forest using forest canopy density model technique - a case study / Khali Aziz Hamzah … [et al.]
title_full Mapping of second growth forest using forest canopy density model technique - a case study / Khali Aziz Hamzah … [et al.]
title_fullStr Mapping of second growth forest using forest canopy density model technique - a case study / Khali Aziz Hamzah … [et al.]
title_full_unstemmed Mapping of second growth forest using forest canopy density model technique - a case study / Khali Aziz Hamzah … [et al.]
title_sort mapping of second growth forest using forest canopy density model technique - a case study / khali aziz hamzah … [et al.]
publishDate 2002
url https://ir.uitm.edu.my/id/eprint/73721/1/73721.pdf
https://ir.uitm.edu.my/id/eprint/73721/
_version_ 1769846502558007296
score 13.211869

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